The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Direct Growth of Vertically-oriented Graphene for Field-Effect Transistor Biosensor
Open accessAbstract
A sensitive and selective field-effect transistor (FET) biosensor is demonstrated using vertically-oriented graphene (VG) sheets labeled with gold nanoparticle (NP)-antibody conjugates. VG sheets are directly grown on the sensor electrode using a plasma-enhanced chemical vapor deposition (PECVD) method and function as the sensing channel. The protein detection is accomplished through measuring changes in the electrical signal from the FET sensor upon the antibody-antigen binding. The novel biosensor with unique graphene morphology shows high sensitivity (down to ~2 ng/ml or 13 pM) and selectivity towards specific proteins. The PECVD growth of VG presents a one-step and reliable approach to prepare graphene-based electronic biosensors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Graphene-based wireless bacteria detection on tooth enamel
Mannoor, M. S., Tao, H., Clayton, J. D., Sengupta, A., Kaplan, D. L., Naik, R. R., Verma, N., Omenetto, F. G., & McAlpine, M. C. (2012) · Nature Communications · doi:10.1038/ncomms1767 · Cited by 1,014
Cited by
3D Graphene Materials: From Understanding to Design and Synthesis Control
Sun, Z., Fang, S., & Hu, Y. H. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00083 · Cited by 543
Malhotra, B. D., & Ali, M. A. (2018) · Nanomaterials for Biosensors · doi:10.1016/b978-0-323-44923-6.00001-7 · Cited by 319
Mao, S., Wen, Z., Ci, S., Guo, X., Ostrikov, K. K., & Chen, J. (2015) · Small · doi:10.1002/smll.201401598 · Cited by 298
Self-citationHighly Efficient Laser Scribed Graphene Electrodes for On‐Chip Electrochemical Sensing Applications
Nayak, P., Kurra, N., Xia, C., & Alshareef, H. N. (2016) · Advanced Electronic Materials · doi:10.1002/aelm.201600185 · Cited by 293
Lee, J. S., Shin, K.-Y., Cheong, O. J., Kim, J. H., & Jang, J. (2015) · Scientific Reports · doi:10.1038/srep07887 · Cited by 199
Metadata
- Authors
- Mao, S., Yu, K., Chang, J., Steeber, D. A., Ocola, L. E., & Chen, J.
- Venue
- Scientific Reports
- Published
- 2013-04-22
- Volume
- 3
- Issue
- 1
- Pages
- 1696-1696
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2010479193
- Cited by
- 204
- References
- 1
- FWCI
- 12.58
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.